{"title":"The dynamic effects of transformational leadership on employee retention and employability over time: an agent-based model","authors":"Sophia R. Thomas, S. R. Aurora","doi":"10.1007/s10588-024-09385-y","DOIUrl":null,"url":null,"abstract":"<p>Employee retention is a problem for organizations of all sizes. Research has shown that transformational leaders improve retention and reduce turnover; however, there has been little research on the effects of transformational leadership on retention over time while also considering employees’ changing employability. We use agent-based modeling to demonstrate these changing relationships while considering the nature of modern organizations. Our model looks at the relationships between transformational leaders, individual employability, and retention. The model uses data from earlier research to define parameters for these variables, showing how workers and leaders interact and affect employability and retention and how these effects change over time.</p>","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"9 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10588-024-09385-y","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Employee retention is a problem for organizations of all sizes. Research has shown that transformational leaders improve retention and reduce turnover; however, there has been little research on the effects of transformational leadership on retention over time while also considering employees’ changing employability. We use agent-based modeling to demonstrate these changing relationships while considering the nature of modern organizations. Our model looks at the relationships between transformational leaders, individual employability, and retention. The model uses data from earlier research to define parameters for these variables, showing how workers and leaders interact and affect employability and retention and how these effects change over time.
期刊介绍：
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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